c SIGIR MedIR workshop 2014. Copyright is held by the author / owner(s)
II Medical information is accessible from diverse sources including the general web, social media, journal articles, and hospital records; users include patients and their families, researchers, practitioners and clinicians. Challenges in medical information retrieval include: diversity of users and user ability; variations in the format, reliability, and quality of biomedical and medical information; the multimedia nature of data; and the need for accuracy and reliability. The objective of the Medical Information Retrieval workshop is to provide a forum to enable the progression of research in medical information retrieval to provide enhanced search services for all users with interests in medical information search. The workshop aims to bring together researchers interested in medical information search with the goal of identifying speci c research challenges that need to be addressed to advance the state-of-the-art and to foster interdisciplinary collaborations towards the meeting of these challenges. To enable this, we encouraged participation from researchers in all elds related to medical information search including mainstream information retrieval, but also natural language processing, multilingual text processing, and medical image analysis. The organizers would like to thank Dr Karin Verspoor (University of Melbourne, Australia) for giving a keynote talk at the workshop, paper authors for their invaluable contribution, the members of the program committee for their help in the reviewing process, and SIGIR for hosting the event.
Gareth J.F. Jones
Liadh Kelly Henning Muller Justin Zobel July 2014 III
Celia Boyer, Health on the Net, Switzerland Ben Carterette, University of Delaware, USA Allan Hanbury, Vienna University of Technology, Austria William Hersh, Oregon Health and Science University, USA Jung-Jae Kim, Nanyang Technological University, Singapore Gang Luo, University of Utah, USA Iadh Ounis, University of Glasgow, UK Patrick Ruch, HES-SO, Switzerland Stefan Schulz, Medical University Graz, Austria Karin Verspoor, NICTA, Australia Ellen Voorhees, NIST, USA Ryen White, Microsoft Research, USA Elad Yom-Tov, Microsoft Research, USA Pierre Zweigenbaum, LIMSI, France Table of Contents...........................................................................................................................V Report on the SIGIR 2014 Workshop on Medical Information Retrieval (MedIR) ......................1 Practice-based Evidence in Medicine: Where Information Retrieval Meets Data Mining .............4 Karin Verspoor Designing for Health Exploratory Seeking Behaviour ...................................................................5 Patrick Cheong-Iao Pang, Karin Verspoor, Shanton Chang and Jon Pearce.
Evaluation of Coreference Resolution for Biomedical Tex ............................................................9 Miji Choi, Karin Verspoor and Justin Zobel.
Retrieving Attitudes: Sentiment Analysis from Clinical Narratives .............................................12 Yihan Deng, Matthaeus Stoehr and Kerstin Denecke.
Why Assessing Relevance in Medical IR is Demanding ..............................................................16 Bevan Koopman and Guido Zuccon.
Multi-modal relevance feedback for medical image retrieval.......................................................20 Dimitrios Markonis, Roger Schaer and Henning Müller.
A Joint Local-Global Approach for Medical Terminology Assignment ......................................24 Liqiang Nie, Mohammad Akbari, Tao Li and Tat-Seng Chua.
Exploring Clustering Based Knowledge Discovery towards Improved Medical Diagnosis.........28 Rajendra Prasath and Philip O'Reilly.
Integrating Understandability in the Evaluation of Consumer Health Search Engines ................32 Guido Zuccon and Bevan Koopman.